INFOH423 – Project: Hack my Ride

0.Description initial dataset

0.1 Data loading schema

0.2 Data description

Task 1: "Analyze vehicle speed"

1.1 Task pipeline schema

1.2 Pseudo-algorithm schema

1.2 Let's have a look on the data and summary stat.

Table: Data summary

Name	dt_hour
Number of rows	1471
Number of columns	5
Key	NULL
_______________________
Column type frequency:
character	1
factor	1
numeric	3
________________________
Group variables	None

Variable type: character

skim_variable	n_missing	complete_rate	min	max	empty	n_unique	whitespace
type_vehicle	0	1	1	1	0	3	0

Variable type: factor

skim_variable	n_missing	complete_rate	ordered	n_unique	top_counts
line_id	0	1	FALSE	73	6: 23, 3: 22, 5: 22, 7: 22

Variable type: numeric

skim_variable	n_missing	complete_rate	mean	sd	p0	p25	p50	p75	p100	hist
hour	0	1	12.88	6.31	0.00	8.00	13.00	18.00	23.00	▃▇▆▇▇
avg_speed_hour	0	1	23.25	12.34	-0.01	13.91	22.74	31.25	60.27	▅▇▆▃▁
avg_delay_hour	0	1	347.65	181.75	-1.56	197.87	323.76	479.49	1740.08	▇▆▁▁▁

1.3 Vizualize hourly average speed by typology

1.4 Visualize plots by moments and typology

Task 2: "Analyze vehicle delays in Seconds."

2.1 Task pipeline schema

2.2 Pseudo-algorithm schema

2.2. Visualization by vehicle type

2.3 Visualization by moments and vehicle

2.4 Testing coordinates map w.r.t to stops

Data coordinates w.r.t to the stops

Plot test single coordinate